San Francisco Bay area community cohesion and resilience: Two case studies

Alexander Gilgur and Jose Emmanuel Ramirez-Marquez

Socio-Economic Planning Sciences, 2025, vol. 98, issue C

Abstract: In this submission, the authors develop an innovative approach to measuring community resilience by mathematical analysis of its members’ social-media microblogs. The approach involves applying machine-learning and graph-analytic techniques to infer social cohesion, which is later used as the state variable by which resilience is measured. We analyze community cohesion and its dynamics during two natural disasters that hit San Francisco Bay Area with an interval of only two years - the wildfires of 2020 and the torrential rainstorms during the water year of 2022/23.

Keywords: Community resilience; Sentiment cohesion; Structural cohesion; Degree outliers; Principal component analysis; Feature importance; Machine learning; Statistical analysis (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:98:y:2025:i:c:s0038012125000060

DOI: 10.1016/j.seps.2025.102157

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